Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Paolo Grisleri"'
Autor:
Alberto Broggi, Paolo Grisleri, Thomas B. Moeslund, Andreas Mogelmose, Mohan M. Trivedi, Antonio Prioletti
Publikováno v:
Prioletti, A, Møgelmose, A, Grislieri, P, Trivedi, M, Broggi, A & Moeslund, T B 2013, ' Part-based Pedestrian Detection and Feature-based Tracking for Driver Assistance : Real-Time, Robust Algorithms and Evaluation ', I E E E Transactions on Intelligent Transportation Systems, vol. 14, no. 3, pp. 1346-1359 . https://doi.org/10.1109/TITS.2013.2262045
Detecting pedestrians is still a challenging task for automotive vision systems due to the extreme variability of targets, lighting conditions, occlusion, and high-speed vehicle motion. Much research has been focused on this problem in the last ten y
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 4:21-32
This paper describes a speed warning system for boats moving on a wide water surface using a single grayscale camera. Boats are detected, their speed estimated, and statistics are also computed. The approach is based on an enhanced background subtrac
Autor:
Matteo Panciroli, Michele Buzzoni, Pietro Versari, Elena Cardarelli, Stefano Debattisti, Paolo Grisleri, Alberto Broggi
Publikováno v:
International Journal of Automotive Technology. 13:123-132
This paper describes a framework used to develop and run automotive applications both on board of vehicles and in laboratory. It includes the recording system designed and implemented in the GOLD framework. The system can record data from different s
Autor:
Paolo Grisleri, Isabella Fedriga
Publikováno v:
IFAC Proceedings Volumes. 43:497-502
The interest in having an autonomous vehicle platform is driven by the long term objective, aimed by many research centers, of changing the transportation system world to move people in a safer and more efficient way. The BRAiVE vehicle presented in
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 10:594-605
This paper presents an application of a pedestrian-detection system aimed at localizing potentially dangerous situations under specific urban scenarios. The approach used in this paper differs from those implemented in traditional pedestrian-detectio
Autor:
Yi-Liang Chen, Venkataraman Sundareswaran, Craig Anderson, Alberto Broggi, Paolo Grisleri, Pier Paolo Porta, Paolo Zani, John Beck
Publikováno v:
Journal of Field Robotics. 25:841-860
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 8:607-618
Autonomous driving in off-road environments requires an exceptionally capable sensor system, particularly given that the unstructured environment does not provide many of the cues available in on-road environments. This paper presents a complex visio
Publikováno v:
Intelligent Vehicles Symposium
This paper presents the design, the setup, and the architecture of a new class of autonomous vehicles prototype. The car is equipped with 26 cameras, divided into 13 stereo pairs. Four stereo systems are dedicated to the reconstruction of the near ar
Publikováno v:
ITSC
An algorithm, that allows the detection of vehicles through the analysis of images, has nowadays a number of applications for safety, increasing the drivers awareness in potential dangerous situations. The development of a reliable and robust vehicle
Publikováno v:
MESA
This article describes a system for people counting conceived for public transportation vehicles. The underlying idea is to monitor the number of passengers getting in or out public transportation means like buses and metros over time hence computing